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Automated Testing Framework Development for Scalable Demo Platform with Microservices Architecture
  1. case
  2. Automated Testing Framework Development for Scalable Demo Platform with Microservices Architecture

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Automated Testing Framework Development for Scalable Demo Platform with Microservices Architecture

spiralscout.com
Business services
Information technology
Advertising & marketing

Current Testing Challenges Hindering Rapid Deployment

Manual regression testing delays deployments, lack of scalable testing strategy increases costs, complexities in microservices migration create integration risks, and cross-browser/device compatibility issues threaten user experience consistency.

About the Client

Provider of interactive, customized demo solutions for businesses to enhance customer engagement and conversion rates

Key Goals for Testing Infrastructure Modernization

  • Implement automated testing framework to reduce regression testing time by 90%
  • Enable seamless microservices architecture transition with robust API validation
  • Establish scalable test automation strategy supporting 40% faster cross-platform testing
  • Reduce QA overhead by 50% through AI-driven test generation

Core System Capabilities Required

  • AI-powered test case generation with Wippy.ai integration
  • Microservices-focused API testing framework
  • Parallel execution for cross-browser/device testing
  • Centralized test management with Allure TestOps
  • CI/CD pipeline integration with automated build validation

Technology Stack Requirements

Java 17
Jenkins
Selenide
AssertJ
Allure TestOps
Wippy.ai
Aerokube Moon

System Integration Needs

  • CI/CD pipeline
  • Service virtualization tools
  • Mobile/desktop browser compatibility framework

Performance and Quality Expectations

  • Scalable test execution
  • Sub-3-hour regression cycles
  • 99.9% test reliability
  • Role-based access control
  • Automated test maintenance

Expected Business Outcomes

Enables 3x faster feature deployments, reduces testing costs by $500k annually, improves production stability through automated quality gates, and supports enterprise-grade scalability for 50%+ user base growth.

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